An AI agent, combined with a model context protocol (MCP), can create more contextual AI systems that can perform a wide ...

This paper presents a learning-based model predictive trajectory planning controller for automated driving in unstructured, dynamic environments with obstacle avoidance. We first address the problem ...

This paper aims to contribute to situation, activity, and goal awareness in cyber-physical human-machine systems (HMS) by presenting a new information model and specifications for a decision-making ...

'Primer to Machine Learning' is a comprehensive guide covering essential topics in machine learning, including statistics, data preprocessing, supervised and unsupervised learning, neural networks, ...

This study introduces a Q-learning-based nonlinear model predictive control (QL-NMPC) framework for temperature control in batch reactors. A reinforcement learning agent is trained in simulation to ...

Project Brainwave is a deep learning platform for real-time AI inference in the cloud and on the edge. A soft Neural Processing Unit (NPU), based on a high-performance field-programmable gate array ...

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